Range-separated methods combining a short-range density functional with long-range random phase approximations (RPAs) with or without exchange response kernel are tested on rare-gas dimers and the S22 benchmark set of weakly interacting complexes of Jurecka et al. [Phys. Chem. Chem. Phys. 8, 1985 (2006)]. The methods are also compared to full-range RPA approaches. Both range separation and incl...

Previous research into memory forensics has focused on understanding the structure and contents of the kernel space portions of physical memory, and mostly ignored the contents of the user space. This paper describes the results of a survey of user space virtual address allocations in the Windows XP and Windows 7 operating systems, comprehensively identifying the kernel and user space metadata ...

Almond (Prunus amygdalus Batsch) kernel composition is a basic aspect for almond quality evaluation, but, with the exception of kernel taste, only nut and kernel physical traits have been considered so far in almond evaluation. Kernel bitterness, due to the presence of amygdalin, has been thoroughly studied from the physiological and genetic points of view, but not the other chemical traits, wh...

Classification is a learning function that maps a given data item into one of several predefined classes. It is a data analysis technique that extracts models describing important data classes and predicts future values. Basically, classification techniques have better capability to handle a wider variety of datasets than regression. It can also be described as a supervised learning algorithm i...

Topic models can be used to improve classification of protein-protein interactions (PPIs) by condensing lexical knowledge available in unannotated biomedical text into a semantically-informed kernel smoothing matrix. Detection of sentences that describe PPIs is difficult due to lack of annotated data. Furthermore, sentences generally contain a small percentage of the features, thus leading to s...

We consider the problem of clustering incomplete data drawn from a union of subspaces. Classical subspace clustering methods are not applicable to this problem because the data are incomplete, while classical low-rank matrix completion methods may not be applicable because data in multiple subspaces may not be low rank. This paper proposes and evaluates two new approaches for subspace clusterin...

It is relatively easy to obtain sets of images that are known to contain objects of a certain category, such as “face”, or “bicycle”. There has been promising work on using such data sets — without any manual labeling of object features — to learn generative models for object categories [4, 1]. These models can then be used to detect instances of the categories in other images. However, these g...

Indole-3-acetyl-myo-inositol esters have been demonstrated to be endogenous components of etiolated Zea mays shoots tissue. This was accomplished by comparison of the putative compounds with authentic, synthetic esters. The properties compared were liquid and gas-liquid chromatographic retention times and the 70-ev mass spectral fragmentation pattern of the pentaacetyl derivative. The amount...